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Review of Economic Studies Vol. 86 No. 3 2019

Community Enforcement of Trust with Bounded Memory

V. Bhaskar; Caroline Thomas

University of Texas at Austin

open access

Abstract

We examine how trust is sustained in large societies with random matching, when records of past transgressions are retained for a finite length of time. To incentivize trustworthiness, defaulters should be punished by temporary exclusion. However, it is profitable to trust defaulters who are on the verge of rehabilitation. With perfect bounded information, defaulter exclusion unravels and trust cannot be sustained, in any purifiable equilibrium. A coarse information structure, that pools recent defaulters with those nearing rehabilitation, endogenously generates adverse selection, sustaining punishments. Equilibria where defaulters are trusted with positive probability improve efficiency, by raising the proportion of likely re-offenders in the pool of defaulters.

DOI
10.1093/restud/rdy048
Volume
86
Issue
3
Pages
1010-1032
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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